Result: Extraction of finger-vein patterns using maximum curvature points in image profiles

Title:
Extraction of finger-vein patterns using maximum curvature points in image profiles
Authors:
MIURA, Naoto, NAGASAKA, Akio, MIYATAKE, Takafumi
Source:
IEICE transactions on information and systems. 90(8):1185-1194
Publisher Information:
Oxford: Oxford University Press, 2007.
Publication Year:
2007
Physical Description:
print, 18 ref
Original Material:
INIST-CNRS
Subject Terms:
Electronics, Electronique, Computer science, Informatique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Traitement du signal, Signal processing, Reconnaissance des formes, Pattern recognition, Divers, Miscellaneous, Biométrie, Biometrics, Biometría, Brillance, Brightness, Brillantez, Concordance forme, Pattern matching, Extraction caractéristique, Feature extraction, Reconnaissance automatique, Automatic recognition, Reconocimiento automático, Reconnaissance forme, Pattern recognition, Reconocimiento patrón, Taux erreur, Error rate, Indice error, Traitement signal, Signal processing, Procesamiento señal, feature extraction, finger-vein, image profile, personal identification
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Central Research Laboratory, Hitachi, Ltd, Kokubunji-shi, 185-8601, Japan
ISSN:
0916-8532
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18993467
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Telecommunications and information theory
Accession Number:
edscal.18993467
Database:
PASCAL Archive

Further Information

A biometrics system for identifying individuals using the pattern of veins in a finger was previously proposed. The system has the advantage of being resistant to forgery because the pattern is inside a finger. Infrared light is used to capture an image of a finger that shows the vein patterns, which have various widths and brightnesses that change temporally as a result of fluctuations in the amount of blood in the vein, depending on temperature, physical conditions, etc. To robustly extract the precise details of the depicted veins, we developed a method of calculating local maximum curvatures in cross-sectional profiles of a vein image. This method can extract the centerlines of the veins consistently without being affected by the fluctuations in vein width and brightness, so its pattern matching is highly accurate. Experimental results show that our method extracted patterns robustly when vein width and brightness fluctuated, and that the equal error rate for personal identification was 0.0009%, which is much better than that of conventional methods.